Beginning R

Dr. Larry Pace is a statistics author and educator, as well as a consultant. He lives in the upstate area of South Carolina in the town of Anderson. He is a professor of statistics, mathematics, psychology, management, and leadership. He has programmed in a variety of languages and scripting languages including R, Visual Basic, JavaScript, C##, PHP, APL, and in a long-ago world, Fortran IV. He writes books and tutorials on statistics, computers, and technology. He has also published many academic papers, and made dozens of presentations and lectures. He has consulted with Compaq Computers, AT&T, Xerox Corporation, the U.S. Navy, and International Paper. He has taught at Keiser University, Argosy University, Capella University, Ashford University, Anderson University (where he was the chair of the behavioral sciences department), Clemson University, Louisiana Tech University, LSU in Shreveport, the University of Tennessee, Cornell University, Rochester Institute of Technology, Rensselaer Polytechnic Institute, and the University of Georgia.

• Part I. Learning the R Language 1. Getting Started 2. Dealing with Dates, Strings, and Data Frames 3. Input and Output 4. Control Structures Part II. Using R for Descriptive Statistics 5. Functional Programming 6. Probability Distributions 7. Working with Tables Part III. Using R for Inferential Statistics 8. Descriptive Statistics and Exploratory Data Analysis 9. Working with Graphics 10. Traditional Statistical Methods 11. Modern Statistical Methods 12. Analysis of Variance 13. Correlation and Regression 14. Multiple Regression 15. Logistic Regression 16. Modern Statistical Methods II Part IV. Taking R to the Next Level 17. Data Visualization Cookbook 18. High-performance Computing 19. Text Mining